Data Driven Modeling Final (APMA 4990)
C Shell Python Perl OCaml
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data
report
restipy @ 8ef4518
.gitignore added normal LDA May 10, 2012
.gitmodules
README updated readme May 11, 2012
analyze.py
compile_libwn.sh
inference.py
main.py
models.py
scrape.py
scrape.sh
scrape_html.py
secrets.py
wn_affect.py wn-affect-1.1 works, but inferior results May 3, 2012

README

Final project for Data Driven Modelling.

Paper is in report/main.pdf.

Finished runs used as results for the paper live in paper_data/

Screen scrapes are not included, but you can run scrape.sh to obtain them 
on your own.

The following non-default libraries are required to run:

matplotlib
numpy
scipy
nltk -- including punkt tokenizer and stopwords corpora, separate download.
unidecode